Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet
Log-Sobolev

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Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev

11 October 2020

Ioannis Panageas

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Papers citing "Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev"

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Title
Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management Yi-Hu Feng Tianlin Li Tian Xie 112 0 0 26 Feb 2025
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds Hong Ye Tan Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb 105 0 0 13 Aug 2024
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics Haoyang Zheng Hengrong Du Qi Feng Wei Deng Guang Lin 65 5 0 13 May 2024
Efficient Sampling on Riemannian Manifolds via Langevin MCMC Xiang Cheng J.N. Zhang S. Sra 81 7 0 15 Feb 2024
Sampling and estimation on manifolds using the Langevin diffusion Karthik Bharath Alexander Lewis Akash Sharma M. Tretyakov DiffM 156 5 0 22 Dec 2023
Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms Tim Tsz-Kit Lau Han Liu Thomas Pock 97 4 0 25 May 2023
Learning Rate Free Sampling in Constrained Domains Louis Sharrock Lester W. Mackey Christopher Nemeth 78 2 0 24 May 2023
Accelerating Convergence in Global Non-Convex Optimization with Reversible Diffusion Ryo Fujino 75 0 0 19 May 2023
Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent Ruqi Zhang Qiang Liu Xin T. Tong BDL DRL 52 12 0 12 Oct 2022
Spherical Sliced-Wasserstein Clément Bonet P. Berg Nicolas Courty Françcois Septier Lucas Drumetz Minh Pham 95 27 0 17 Jun 2022
Constrained Langevin Algorithms with L-mixing External Random Variables Yu Zheng Andrew G. Lamperski 78 6 0 27 May 2022
Convergence of the Riemannian Langevin Algorithm Khashayar Gatmiry Santosh Vempala 67 21 0 22 Apr 2022
Convergence Error Analysis of Reflected Gradient Langevin Dynamics for Globally Optimizing Non-Convex Constrained Problems Kanji Sato Akiko Takeda Reiichiro Kawai Taiji Suzuki 57 6 0 19 Mar 2022
Riemannian Functional Map Synchronization for Probabilistic Partial Correspondence in Shape Networks Faria Huq Adrish Dey Sahra Yusuf Dena Bazazian Tolga Birdal Nina Miolane 76 1 0 29 Nov 2021
Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning Andrew G. Lamperski 39 28 0 22 Dec 2020
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices Santosh Vempala Andre Wibisono 130 269 0 20 Mar 2019